Coevolution of Camouflage
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Abstract (arXiv)
Camouflage in nature seems to arise from competition between predator and prey. To survive, predators must find prey, and prey must avoid being found. This work simulates an abstract model of that adversarial relationship. It looks at crypsis through evolving prey camouflage patterns (as color textures) in competition with evolving predator vision. During their "lifetime" predators learn to better locate camouflaged prey. The environment for this 2D simulation is provided by a set of photographs, typically of natural scenes. This model is based on two evolving populations, one of prey and another of predators. Mutual conflict between these populations can produce both effective prey camouflage and predators skilled at "breaking" camouflage. The result is an open source artificial life model to help study camouflage in nature, and the perceptual phenomenon of camouflage more generally.
Key facts. No citing papers in the map yet (data through 14 Oct 2026). Builds on 9 of its 59 references that are in the map. First posted on arXiv 24 Apr 2023.
Builds on
9 of 59 references.
References · 9
- 2022Generative Adversarial Networkscited by 5,627
- 2022NeRF: Neural Radiance Field in 3D Vision: A Comprehensive Review (Updated Post-Gaussian Splatting)cited by 158
- 2022Zoom In and Out: A Mixed-scale Triplet Network for Camouflaged Object Detectioncited by 145
- 2022Boundary-Guided Camouflaged Object Detectioncited by 68
- 2022CamoFormer: Masked Separable Attention for Camouflaged Object Detectioncited by 58
- 2022Towards Deeper Understanding of Camouflaged Object Detectioncited by 19
- 2022MatFormer: A Generative Model for Procedural Materialscited by 12
- 2022GANmouflage: 3D Object Nondetection with Texture Fieldscited by 7
- 2022Genetic Programming-Based Evolutionary Deep Learning for Data-Efficient Image Classificationcited by 4
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